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HOGFormer: high-order graph convolution transformer for 3D human pose estimation
The combination of graph convolution network (GCN) and Transformer has shown promising results in 3D human pose estimation (HPE) tasks when lifting...
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Global semantics correlation transmitting and learning for sketch-based cross-domain visual retrieval
Sketch-based cross-domain visual data retrieval is the process of searching for images or 3D models using sketches as input. Achieving feature...
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Strategic analysis of intelligent connected vehicle industry competitiveness: a comprehensive evaluation system integrating rough set theory and projection pursuit
As a carrier of multi-industrial technology integration and the key to industrial competition, the intelligent connected vehicle (ICV) has been taken...
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Quantum circuits for discrete graphical models
Graphical models are useful tools for describing structured high-dimensional probability distributions. The development of efficient algorithms for...
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A Comparative Study Using Generalized Ordered Probit, Stacking Ensemble, and TabNet: Application to Determinants of Pedestrian Crash Severity
In this study, we introduce the adaptive interpretive modeling (AIM) pipeline, utilizing the TabNet model to address some deep learning (DL)...
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Comparative analysis of open-source federated learning frameworks - a literature-based survey and review
While Federated Learning (FL) provides a privacy-preserving approach to analyze sensitive data without centralizing training data, the field lacks an...
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GraphMriNet: a few-shot brain tumor MRI image classification model based on Prewitt operator and graph isomorphic network
Brain tumors are regarded as one of the most lethal forms of cancer, primarily due to their heterogeneity and low survival rates. To tackle the...
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Impact of navigation apps on congestion and spread dynamics on a transportation network
In recent years, the widespread adoption of navigation apps by motorists has raised questions about their impact on local traffic patterns. Users...
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Recommending suitable hotels to travelers in the post-COVID-19 pandemic using a novel FAHP-fuzzy TOPSIS approach
Cities around the world have reopened from the lockdown caused by the COVID-19 pandemic, and more and more people are planning regional travel....
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Real-Time Classroom Behavior Analysis for Enhanced Engineering Education: An AI-Assisted Approach
Modern teaching has made significant progress, with many advanced equipment and technologies being introduced into the teaching process. Experimental...
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ELECTRE TRI-C with Hesitant Fuzzy Sets and Interval Type 2 Trapezoidal Fuzzy Numbers Using Stochastic Parameters: Application to a Brazilian Electrical Power Company Problem
ELECTRE TRI-C is a method for sorting problems with imprecise evaluations and stable criteria weights, typically for a single decision-maker. While...
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Multivariate Bayesian Time-Series Model with Multi-temporal Convolution Network for Forecasting Stock Market During COVID-19 Pandemic
The paper proposes a hybrid algorithm for forecasting multiple correlated time-series data, which consists of two main steps. First, it employs a...
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Recognizing good variational quantum circuits with Monte Carlo Tree Search
Many investigators have recently turned to the study of quantum architecture search since it is laborious to manually design a high-performing...
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Fuzzy Decision Support Systems to Improve the Effectiveness of Training Programs in the Field of Sports Fitness
To maximize training programs and improve individual performance, the sports fitness profession is always looking for new and innovative solutions....
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On the Construction of Admissible Orders for Tuples and Its Application to Imprecise Risk Matrices
The imprecision inherent in human opinions is not properly modeled by crisp numbers. Other more complex structures like intervals or tuples capture...
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Pediatric Posterior Fossa Tumors Classification and Explanation-Driven with Explainable Artificial Intelligence Models
The use of deep learning for identifying defects in medical images has rapidly emerged as a significant area of interest across various medical...
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Dog behaviors identification model using ensemble convolutional neural long short-term memory networks
This paper presents a new model based on Convolutional Neural Networks (CNN) with a long short-term memory network (LSTM) and ensemble technique for...
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Joint recognition for location and activity based on multidimensional features of CSI images
The joint recognition technology of location and activity, leveraging CSI (Channel State Information), finds widespread applications in domains such...
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MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug–Target Interactions Prediction
Drug–target interactions is essential for advancing pharmaceuticals. Traditional drug–target interaction studies rely on labor-intensive laboratory...
